# Copyright 2017 Jin Fagang. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =======================================================================
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf


def run():
    a = tf.random_normal((4, 3))
    b = abs(tf.random_normal((3, 4)))
    init_op = tf.local_variables_initializer()
    with tf.Session() as sess:
        sess.run(init_op)
        print(a.eval())
        print(b.eval())


def main(_):
    run()


if __name__ == '__main__':
    tf.app.run()
